HamKam vs KFUM: match statistics

I back the away win (KFUM): in their last 5 matches KFUM scored 9 goals and average 1.4 points per game, while HamKam scored 5 goals and averages only 0.6 points per game. Match metrics confirm KFUM’s edge — the visitors average 7.5 shots on target and 15 shots per game away with an attacking xG of 1.78, whereas HamKam at home records 4.5 shots on target, 13 attempts and an attacking xG of 1.43. Defensively HamKam are more exposed: they concede 3.0 goals per home game on average with an xG against of 2.02, while KFUM concede 2.5 goals away with an xG against of 1.67. Although HamKam have a higher home shot conversion (12% vs 10%) and nominally 50% home wins in the data, their form (llwll) and as many as 15 goals conceded in the last 5 matches count against the hosts. With a possession advantage 56% to 42%, better xG and more shots on target, I assess probabilities as: home 20%, draw 20%, away 60%.

The strongest signal for BTTS comes from percentages: the away team has a season rate of matches with both teams scoring of 100% versus 50% for the home side, and in the last 5 fixtures both teams registered BTTS in 80% of games. Additionally, offensively the visitors generate more chances (xG 1.78 vs 1.32 for the hosts) and average 7.5 shots on target versus 3.5 for the hosts, while combined xG of 3.10 exceeds the league average of 2.9, which favors goals from both sides. Although seasonally the hosts concede only 1.0 goal on average, in the last 5 matches they have been conceding 3.0 goals per game (15 conceded in 5), whereas the away team concedes 2.5 goals seasonally, so both defenses are vulnerable to goals. Furthermore, the away team has 100% of matches over 2.5 goals and 0% clean sheets this season, while the home team has 50% clean sheets — this indicates the visitors play openly and reduces the chance of No Goal from either side. Based on this I assess the probability of BTTS at 82% vs 18% for No BTTS and tip 'Yes' as the strongest signal.

Seasonal statistics strongly indicate goals: both teams have 100% of matches over 1.5 goals (HamKam 100%, KFUM 100%), while the league average is 2.9 goals per match. An xG-based model values 1.50 xG for the home side (attacking xG 1.32 vs KFUM conceded xG 1.67) and 1.46 xG for the visitors (attacking xG 1.78 vs HamKam conceded xG 1.14), giving a combined total of roughly 2.96 goals. KFUM creates significantly more chances – on average 7.5 shots on target and 15.0 shots per match versus HamKam’s 3.5 shots on target and 11.5 shots – and HamKam concedes an average of 3.0 goals in their last 5 fixtures, which raises the likelihood of goals. Season-to-date both teams record goals at both ends (HamKam 50%, KFUM 100%), and in the last 5 matches for each side both-teams-to-score occurred in 80% of cases, further supporting Over 2.5 and BTTS scenarios. Consequently the strongest signal is Over 1.5, and as a market value I also recommend Over 2.5 given the combined xG ~2.96 and high over form indicators.

The most likely scenario is a draw at half-time followed by a HamKam victory after 90 minutes (X/1). Both teams frequently share the lead at the break — 50% of HamKam’s matches are level at half-time and 50% of KFUM’s matches are also level at half-time — with HamKam not leading at the break in any match (0% leads), which increases the probability of a draw at the break. After the break the home side performs better: in second-half data HamKam collected 4 points and averages 2.0 points in those periods with 50% wins in second halves, whereas KFUM has 0% second-half wins and averages 1.0 point, suggesting a home advantage after half-time. Additionally, HamKam has superior home form — averaging 1.5 points per home game and 50% home wins versus only 0.5 points per away game and 0% away wins for KFUM — and although KFUM produces higher xG (1.78 vs 1.32) and more shots (15.0 vs 11.5) as well as 7.5 shots on target versus HamKam’s 3.5, the hosts have higher shot efficiency (13% vs 10%) and better second halves, which provides the strongest signal for X/1.